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Shift Invariance Can Reduce Adversarial Robustness
Neural Information Processing Systems (NeurIPS), 2021
3 March 2021
Songwei Ge
Vasu Singla
Ronen Basri
David Jacobs
AAML
OOD
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Papers citing
"Shift Invariance Can Reduce Adversarial Robustness"
16 / 16 papers shown
Defending Against Frequency-Based Attacks with Diffusion Models
Fatemeh Amerehi
Patrick Healy
AAML
400
1
0
15 Apr 2025
Understanding the Role of Invariance in Transfer Learning
Till Speicher
Vedant Nanda
Krishna P. Gummadi
SSL
OOD
382
1
0
05 Jul 2024
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Sourajit Saha
Tejas Gokhale
280
4
0
11 Apr 2024
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything
Israt Zarin Era
Imtiaz Ahmed
Zhichao Liu
Srinjoy Das
409
6
0
07 Dec 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness
V. Avrutskiy
446
0
0
21 Oct 2023
Unveiling Invariances via Neural Network Pruning
Derek Xu
Luke Huan
Wei Wang
321
0
0
15 Sep 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
437
17
0
17 Mar 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
Computer Vision and Pattern Recognition (CVPR), 2023
H. Michaeli
T. Michaeli
Daniel Soudry
305
20
0
14 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Neural Information Processing Systems (NeurIPS), 2023
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
265
23
0
02 Mar 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Neural Information Processing Systems (NeurIPS), 2023
Odelia Melamed
Gilad Yehudai
Gal Vardi
GAN
356
8
0
01 Mar 2023
Invariance-Aware Randomized Smoothing Certificates
Neural Information Processing Systems (NeurIPS), 2022
Jan Schuchardt
Stephan Günnemann
AAML
284
8
0
25 Nov 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Neural Information Processing Systems (NeurIPS), 2022
Henry Kvinge
Tegan H. Emerson
Grayson Jorgenson
Scott Vasquez
T. Doster
Jesse D. Lew
242
13
0
07 Oct 2022
On the Limitations of Stochastic Pre-processing Defenses
Neural Information Processing Systems (NeurIPS), 2022
Yue Gao
Ilia Shumailov
Kassem Fawaz
Nicolas Papernot
AAML
SILM
447
34
0
19 Jun 2022
Gradient Methods Provably Converge to Non-Robust Networks
Neural Information Processing Systems (NeurIPS), 2022
Gal Vardi
Gilad Yehudai
Ohad Shamir
369
30
0
09 Feb 2022
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
ViT
365
91
0
06 Oct 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
IEEE International Conference on Computer Vision (ICCV), 2021
Vasu Singla
Sahil Singla
David Jacobs
Soheil Feizi
AAML
305
49
0
15 Feb 2021
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